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About

Ricardo Zimmermann is a researcher at the Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Portugal. His qualification includes a Ph.D. in Industrial Engineering and Management by the University of Aveiro, a Master in Management by the University of Aveiro, a Master in Business Administration by SENAI (National Service of Industrial Learning), Brazil and a BS in Management by the Federal University of Santa Catarina (UFSC), Brazil. His research interests include supply chain management, innovation management, the relationship between supply chains and innovation, as well as the role of emerging digital technologies. Ricardo has management experience in companies in Portugal and Brazil.

Interest
Topics
Details

Details

004
Publications

2022

The Role of Visibility and Trust in Textile Supply Chains

Authors
Zimmermann, R; Toscano, C; Oliveira, J; Moreira, AC;

Publication
IFIP Advances in Information and Communication Technology

Abstract

2021

Policy Recommendations for Supporting Supply Chains with Horizontal Actions

Authors
Zimmermann, R; Barros, AC; Senna, PP; Pessot, E; Marchiori, I; Fornasiero, R;

Publication
Lecture Notes in Management and Industrial Engineering - Next Generation Supply Chains

Abstract
AbstractThis chapter aims to identify the supply chain (SC) issues that can be considered “horizontal”, as they are cross–sectorial and faced by most companies operating both in production and distribution sectors, and to propose a set of policy recommendations that can support public and private organisations to promote and foster innovation and competitiveness of future European SCs. The definition of the Key Horizontal Issues (KHI) is the basis for developing 12 policy recommendations regarding infrastructure requirements, technological and organisational improvements and regulatory developments needed to set the stage for the European SCs for the future. Specifically, the policy recommendations entail assuring appropriate standards and legislation for European SCs; educating and training professionals for the future SCs; drafting of international agreements aiming at future European SCs; supporting and fostering incentives and funding schemes; promoting reference bodies for European SCs; and establishing infrastructure for fostering of future European SCs.

2021

The impact of supply chain fit on business and innovation performance in Brazilian companies

Authors
Zimmermann, R; Ferreira, LMDF; Moreira, AC; Barros, AC; Correa, HL;

Publication
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT

Abstract
Purpose: This paper investigates the effect of the fit between supply and demand uncertainty (SDU) and supply chain responsiveness (SCR) (SC fit) on business and innovation performance in Brazilian companies. Design/methodology/approach: The study presented an analysis carried out on an empirical study based on a sample of 150 manufacturing companies. Business and innovation performance of companies with different types of SC fit (high–high and low–low fits) and misfit (positive and negative) are compared and discussed. Findings: The results indicated that SC fit had a positive effect on both business and innovation performance. Further analyses suggested that companies with SC fit present similar business performance, independent of the level of SDU that characterizes the environment where they compete, while companies in environments with higher levels of uncertainty tend to present superior innovation performance. Companies with positive and negative misfit present similar performance. Originality/value: An analysis of the literature showed that there is no consensus when it comes to the definitions and measurements of SC fit. The paper investigates the effects of SC fit on business and innovation performance, while previous empirical studies have mainly addressed its impact on financial performance. Moreover, this study compares the effects of two types of fit and two types of misfit and assesses SC fit in Brazilian manufacturing companies, analyzing the context of an under-researched reality. © 2020, Emerald Publishing Limited.

2021

Innovative Learning Scheme to Up-skilling and Re-skilling - Designing a Collaborative Training Program Between Industry and Academia Towards Digital Transformation

Authors
Simoes, AC; Ferreira, F; Almeida, A; Zimmermann, R; Castro, H; Azevedo, A;

Publication
SMART AND SUSTAINABLE COLLABORATIVE NETWORKS 4.0 (PRO-VE 2021)

Abstract
Small and medium-sized enterprises (SMEs) in Europe are conscious that their competitive position depends on their success to embrace digitalisation challenges. However, some decision-makers in companies discard digital transformation because they do not understand how it can be incorporated into their businesses. Therefore, academia, research centres, and technological clusters are responsible for building the infrastructures and providing the support and the training that will progressively change this mindset. This paper aims to report an experience on designing a training program to train the trainers under the digital transformation topic. To define strategies to understand better the companies (and professionals) needs and motivations and the requisites to deliver the training course, the focus group methodology was applied. In this paper, we present a training program methodology and structure that intend to respond to industrial requests and, in this way to accelerate the digital transformation of companies, especially SMEs. © 2021, IFIP International Federation for Information Processing.

2021

The digital twin as an enabler of digital transformation: a sociotechnical perspective

Authors
Rebentisch E.; Rhodes D.H.; Soares A.L.; Zimmerman R.; Tavares S.;

Publication
IEEE International Conference on Industrial Informatics (INDIN)

Abstract

Supervised
thesis

2021

Experimental evaluation of segmentation algorithms for corner detection in sonar images

Author
Pedro Miguel Linhares Oliveira

Institution
UP-FEUP

2021

Deep Learning Face Emotion Recognition

Author
Pedro Duarte Lopes

Institution
UP-FEUP